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[PDF] Top 20 A novel approach to parameter uncertainty analysis of hydrological models using neural networks

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A novel approach to parameter uncertainty analysis of hydrological models using neural networks

A novel approach to parameter uncertainty analysis of hydrological models using neural networks

... by using an Artificial Neural Network (ANN) for the assess- ment of model parametric ...synthetic uncertainty descriptors estimated from the MC ...the parameter uncertainty and can be ... See full document

14

Parameter uncertainty analysis for an operational hydrological model using residual based and limits of acceptability approaches

Parameter uncertainty analysis for an operational hydrological model using residual based and limits of acceptability approaches

... Uncertainty analysis techniques can be classified as frequentist or Bayesian approaches, probabilistic or non- probabilistic approaches ...in hydrological modeling are the formal Bayesian and the ... See full document

19

Novel Approach for Inventory Planning Using OPAL and Some Neural Networks

Novel Approach for Inventory Planning Using OPAL and Some Neural Networks

... ABC analysis was presented by Flores ...ABC analysis by accounting additional criteria, such as lead time and criticality of SKUs to provide managerial ...the uncertainty in classification boundaries ... See full document

7

A novel approach to using neural networks to predict the colour of fibre blends

A novel approach to using neural networks to predict the colour of fibre blends

... of neural networks are based on multi-layer perceptron feed-forward ...These networks are described in detail by Shamey and Hussain but essentially map an input vector to an output vector via a ... See full document

11

Uncertainty Analysis of a Temperature-Index Snowmelt Model Using Bayesian Networks

Uncertainty Analysis of a Temperature-Index Snowmelt Model Using Bayesian Networks

... a hydrological model with five uncertain parameters that takes 5 seconds to run, in order to propagate uncertainties tied with these parameters through the model, 10 000 runs will take 50 000 seconds to be done, ... See full document

11

Assessment of precipitation error propagation in multi model global water resource reanalysis

Assessment of precipitation error propagation in multi model global water resource reanalysis

... precipitation uncertainty, and its interaction with hydrologic modeling, in global water re- source ...reanalysis. Analysis is based on ensemble hydrologic simulations for a period spanning 11 years ...the ... See full document

22

An ensemble approach to assess hydrological models' contribution to uncertainties in the analysis of climate change impact on water resources

An ensemble approach to assess hydrological models' contribution to uncertainties in the analysis of climate change impact on water resources

... of uncertainty comes from GCM forcing ...the hydrological process would react to climate ...drological models to uncertainty in the climate change sig- nal for water resources ...four ... See full document

14

Global sensitivity analysis of parameter uncertainty in landscape evolution models

Global sensitivity analysis of parameter uncertainty in landscape evolution models

... lution models (LEMs) has long been limited by a lack of suit- able observational data and statistical measures which can fully capture the complexity of landscape ...the models and the consequent assessment ... See full document

16

A novel approach to using neural networks to predict the colour of fibre blends

A novel approach to using neural networks to predict the colour of fibre blends

... of neural networks are based on multi-layer perceptron feed-forward ...These networks are described in detail by Shamey and Hussain but essentially map an input vector to an output vector via a ... See full document

11

Classification of hydro meteorological conditions and multiple artificial neural networks for streamflow forecasting

Classification of hydro meteorological conditions and multiple artificial neural networks for streamflow forecasting

... lar approach for real-time streamflow forecasting that uses different system-theoretic rainfall-runoff models according to the situation characterising the forecast ...similar hydrological and meteo- ... See full document

12

Modelling of Multi Layer Feed forward Neural Networks to Determine the Compressive Strength of Marmara Region Aggregate's Concrete

Modelling of Multi Layer Feed forward Neural Networks to Determine the Compressive Strength of Marmara Region Aggregate's Concrete

... artificial neural network which moves the information forward from the input layer, through the hidden layer to the output ...Artificial Neural Network is an information processing system designed and ... See full document

8

Precipitation forecasts and their uncertainty as input into hydrological models

Precipitation forecasts and their uncertainty as input into hydrological models

... that using the ECMWF quantitative precipitation forecast in hydrological modelling can cause very high biases in ...poor analysis is the small number of precipitation events; analysing more ... See full document

11

Overview of the Artificial Neural Networks and Fuzzy Logic Applications in Operational Hydrological Forecasting Systems

Overview of the Artificial Neural Networks and Fuzzy Logic Applications in Operational Hydrological Forecasting Systems

... used neural networks type is the feedforward networ k trained with backpropagation family ...implemented neural network that uses recurrence, ...(RTRL) networks, or Time Delay Neural ... See full document

6

Prediction of Stock Prices Using Artificial N...

Prediction of Stock Prices Using Artificial N...

... describe neural networks as an adaptive machine or more specifically: “A neural network is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge ... See full document

6

Recognizing Handwritten Alphabets using Neural Networks

Recognizing Handwritten Alphabets using Neural Networks

... such approach is formulated in this ...Artificial Neural Networks which mimics the neurons of the human ...by Neural Networks. Neural Networks have been applied to a range ... See full document

5

Energy Efficient Neural Network Technique to Recover Collision in WSN

Energy Efficient Neural Network Technique to Recover Collision in WSN

... Sensor Networks (WSN) are highly distributed self-organized ...sensor networks are equipped with only Omni-directional antennas, which can cause high ...wireless networks. In this paper we are ... See full document

8

Assessing parameter uncertainty on coupled models using minimum information methods

Assessing parameter uncertainty on coupled models using minimum information methods

... We can also use this example to examine the effect of the assumption of background distribution on the minimum information solution. In Figure 7 we see the predictive distribution for the failure rate of machine 1 under ... See full document

26

Data Mining using Neural Networks

Data Mining using Neural Networks

... the neural networks can be used for maintaining and exploring new data sciences in order to provide encouraging frameworks in managing infinite volumes of data we have at our ...and neural ... See full document

6

The importance of hydrological uncertainty assessment methods in climate change impact studies

The importance of hydrological uncertainty assessment methods in climate change impact studies

... of uncertainty compo- nents seemingly contradicted the fact that Burgistein covered a significant upstream subcatchment of the Belp ...the uncertainty at stage 1 was much higher than for the Belp ... See full document

17

An Object-Orientated Approach to Hydrological Modelling using Triangular Irregular Networks

An Object-Orientated Approach to Hydrological Modelling using Triangular Irregular Networks

... geomorphological models. It is less suited to hydrological modelling, because channel flow (governed by different physics than overland flow) is not ... See full document

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